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C CONTRIBUTED A RTICLE1makeR: An R Package for Managing Document Building and Versioning by Jason M. Buyer Abstract The idea of build automation is not new. GNU Make and Java Ant are well established
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Step 1: Start by creating a new R package in RStudio.
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Step 2: Create the necessary folders and files for your package, including the DESCRIPTION, NAMESPACE, and R files.
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Step 3: Fill out the DESCRIPTION file with relevant information about your package, such as its name, version, author, and dependencies.
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Step 4: Add your functions and code to the appropriate R files, ensuring they are well-documented with comments.
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Step 5: Use roxygen2 to automatically generate documentation for your functions.
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Step 6: Test your package using the devtools package and fix any errors or bugs that arise.
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Step 7: Once your package is complete and error-free, use devtools to build and install it.
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Step 8: Share your package with others by publishing it on platforms like GitHub or CRAN.

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R programmers who want to package their code in a structured and organized manner.
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Anyone who wants to contribute to the R package ecosystem by publishing their own package.
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Organizations or teams who want to standardize and distribute their R code within the group.
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Maker is a software package in the R programming language used for creating custom data sets.
Anyone who wants to create customized data sets or manipulate existing data sets using R may need to use the maker package.
To fill out the maker package, users need to install it in R, then follow the package documentation to create and work with data sets.
The purpose of the maker package is to provide users with tools to easily create and manipulate data sets in R.
Users can report any type of data on the maker package, depending on their specific needs for data analysis or presentation.
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